Perform data wrangling / pre-processing

Perform exploratory analysis on the data and describe your understanding of the data.

Apply any two feature selection engineering techniques

1] correlation coefficient

2] Backward Elimination

From above analysis we are picking 5 feature for analysis 5 features for analysis unit_price 0.633962

quantity 0.705510 tax_ 1.000000 selling_price 1.000000 cost_price 1.000000 gross_income 1.000000

Compare the two selected feature engineering techniques

Plot top 5, 6, and 8 features.

Provide a high-level description of Machine Learning models – association rules and random forest to predict

Random Forest Technique

Association Rules Technique

8. Compare the performance of the two classifiers – association rules and random forest.